Mathematics in Computer Science

Top Research Topics at Mathematics in Computer Science?

The scientific interests tackled in the journal are Combinatorics, Discrete mathematics, Algebra, Algorithm and Optoelectronics. Graph and Vertex (geometry) studies are all carried out as a component of the study in Combinatorics presented. The work tackled in it goes beyond the discipline of Discrete mathematics as it also encompasses Polynomial.

Algebra research is the primary subject tackled in Mathematics in Computer Science with a focus on Symbolic computation. Studies on Optoelectronics discussed in Mathematics in Computer Science link to the field of Laser.

• Combinatorics (19.40%)
• Discrete mathematics (18.31%)
• Algebra (12.30%)

What are the most cited papers published in the journal?

• Users guide for ROMIO: A high-performance, portable MPI-IO implementation (146 citations)
• Cryptanalysis of Two McEliece Cryptosystems Based on Quasi-Cyclic Codes (87 citations)
• Trajectory Planning in Robotics (83 citations)

Research areas of the most cited articles at Mathematics in Computer Science:

Discrete mathematics, Algebra, Symbolic computation, Programming language and Combinatorics are the main subjects of interest in the published papers. The journal publications explore issues in Programming language which can be linked to other research areas like Mathematical proof and Theoretical computer science. While work presented in the journal publications provide substantial information on Combinatorics, it also covers topics in Grid, Set (abstract data type) and Embedding.

What topics the last edition of the journal is best known for?

• Quantum mechanics
• Artificial intelligence
• Algebra

The previous edition focused in particular on these issues:

Mathematics in Computer Science generally zeroes in on subjects such as Pure mathematics, Algorithm, Algebra, Computation and Applied mathematics. While Mathematics in Computer Science focused on Pure mathematics, it was also able to explore topics like Constant coefficients, Gröbner basis and Degree (graph theory). The research on Algebra tackled can also make contributions to studies in the areas of Context (language use), Membership problem and Process (computing).

While Basis (linear algebra) is the focus of it, it also provided insights into the studies of Discrete mathematics and Simple (abstract algebra). Aside from discussions in Discrete mathematics, Mathematics in Computer Science also deals with the subject of Univariate which intersects with Polynomial disciplines. The Simple (abstract algebra) works featured in Mathematics in Computer Science incorporate elements from Set (abstract data type), Polyomino, Order (ring theory) and Combinatorics.

The most cited articles from the last journal are:

• Efficiently and Effectively Recognizing Toricity of Steady State Varieties (10 citations)
• Global stability of a Caputo fractional SIRS model with general incidence rate (7 citations)
• A Logic Based Approach to Finding Real Singularities of Implicit Ordinary Differential Equations (4 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Mathematics in Computer Science (based on the number of publications) are:

• Matilde Marcolli (9 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Thomas Sturm (8 papers) published 5 papers at the last edition,
• Irina T. Sorokina (8 papers) absent at the last edition,
• Peter F. Stadler (7 papers) published 1 paper at the last edition,
• Werner M. Seiler (6 papers) published 5 papers at the last edition, 4 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Mathematics in Computer Science (based on the number of publications) are:

• Max Planck Society (18 papers) absent at the last edition,
• University of Newcastle (16 papers) absent at the last edition,
• French Institute for Research in Computer Science and Automation (15 papers) published 2 papers at the last edition,
• Chinese Academy of Sciences (13 papers) published 1 paper at the last edition the same number as at the previous edition,
• Centre national de la recherche scientifique (12 papers) published 1 paper at the last edition the same number as at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 17.54% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.91% were posted by at least one author from the top 10 institutions publishing in the journal. Another 19.15% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.53% of all publications and 23.40% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.